Enhanced Predictive Modelling of Steel Corrosion in Concrete in Submerged Zone Based on a Dynamic Activation Approach
authors Mir, ZM; Hoche, D; Gomes, C; Sampaio, R; Bastos, AC; Maincon, P; Ferreira, MGS; Zheludkevich, ML
nationality International
journal INTERNATIONAL JOURNAL OF CONCRETE STRUCTURES AND MATERIALS
author keywords rebar corrosion; chloride-induced depassivation; finite element method; submerged zone
keywords CHLORIDE-INDUCED CORROSION; REINFORCING STEEL; CARBON-STEEL; PORE SOLUTION; CALCAREOUS DEPOSITS; DIFFUSION; BEHAVIOR; MARINE; CEMENT; BARS
abstract A numerical model for enhanced service life prediction of concrete infrastructure is presented which includes transient analysis of processes during corrosion initiation as well as propagation stage. The temporal and spatial transition of Steel-Concrete Interface during depassivation events is described by a randomly varying chloride threshold function. As such random activation events can be accounted for, rather than having to pre-describe the anode size and location as in many existing models. The aim of the study is to investigate random spatial activation events in concrete structures in submerged zones based on dynamically changing boundary conditions on the rebar surface to control transition from passive to active state. Investigations are carried out to realize the sustainability of corrosion processes in limiting oxygen concentrations in dissolved seawater. The model showcases the numerical architecture, the associated concept of randomly varying chloride threshold and predicts that among other factors, the rate of oxygen strongly influences corrosion rate in submerged locations.
publisher SPRINGEROPEN
issn 1976-0485
year published 2019
volume 13
issue 1
digital object identifier (doi) 10.1186/s40069-018-0321-0
web of science category Construction & Building Technology; Engineering, Civil; Materials Science, Multidisciplinary
subject category Construction & Building Technology; Engineering; Materials Science
unique article identifier WOS:000458061200004
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journal analysis (jcr 2017):
journal impact factor 2.360
5 year journal impact factor 2.737
category normalized journal impact factor percentile 70.576
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